AI Developer

Société Générale GSC

Centre de services financiers et technologiques du groupe Societe Generale

CDI📍 Casablanca🔄 Hybride

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A propos de l'entreprise

Socciété Générale Global Solution Centre (SG GSC) Morocco incarne la nouvelle génération des centres d'excellence du Groupe Société Générale. Né du rapprochement de SG ABS et SG ATS, il rassemble des expertises métiers et technologiques au service de la transformation des activités bancaires à l'échelle internationale. Présent à Casablanca et à Abidjan, SG GSC Morocco accompagne les métiers du Groupe grâce à des compétences reconnues en finance, risques, crédit, audit, data, digital et technologies. Nos équipes contribuent à la conception et au déploiement de solutions innovantes qui soutiennent la performance, l'agilité et la compétitivité du Groupe. En nous rejoignant, vous évoluerez dans un environnement international, collaboratif et stimulant, où chaque talent est encouragé à apprendre, innover et grandir. Ensemble, nous construisons les solutions qui façonnent la banque de demain et créons un impact durable pour nos clients, nos métiers et nos collaborateurs. Notre ambition : faire de SG GSC Morocco un centre d'excellence de référence, reconnu pour ses talents, son innovation et sa contribution à la réussite du Groupe Société Générale.

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Vos missions

Missions

As an AI Developer, you will design, build and deploy AI-powered applications and workflow automation solutions that support business transformation and operational efficiency. You will work with enterprise applications, cloud services and diverse data sources to deliver secure, scalable and maintainable solutions. In collaboration with business, data, technology and architecture teams, you will contribute throughout the development lifecycle, from solution design and integration through testing, deployment, monitoring and continuous improvement.

Your main responsibilities will include:

· Design, develop, test and deploy AI-powered applications, intelligent tools and workflow automation solutions.

· Integrate enterprise applications with AI services through REST APIs, Model Context Protocol (MCP), event-driven architectures and workflow orchestration platforms.

· Work with structured, semi-structured and unstructured data sources to build scalable and reliable AI solutions.

· Develop data-integration components connecting AI applications with enterprise data warehouses, data lakes, analytics platforms and vector databases.

· Build and maintain CI/CD pipelines and apply DevOps practices throughout the AI application lifecycle.

· Deploy and operate AI solutions on Microsoft Azure in line with enterprise architecture, security and development standards.

· Optimise AI workflows and applications for reliability, scalability, observability, performance and cost efficiency.

· Implement appropriate testing, monitoring, logging and technical documentation to support controlled deployment and ongoing maintenance.

· Collaborate with business and technical stakeholders to translate requirements into practical AI solutions and support adoption.

· Contribute to code reviews, knowledge sharing and the continuous improvement of development standards and reusable components.

· Comply with applicable information-security, data-protection, risk and internal policy requirements.

· Undertake additional duties as required.

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Profil recherche

· Strong development skills in Python and working knowledge of .NET/C# for enterprise applications and integrations.

· Experience designing and integrating REST APIs, Model Context Protocol (MCP) components and event-driven or orchestrated workflows.

· Hands-on experience with Git, CI/CD pipelines and DevOps practices for building, testing and deploying applications.

· Experience integrating structured, semi-structured and unstructured data using relational, document and vector databases.

· Familiarity with developing AI solutions using Microsoft Azure and Azure AI Foundry capabilities.

· Experience connecting enterprise data platforms, such as data warehouses, data lakes, Databricks or Snowflake, to applications and AI services.

· Understanding of cloud architecture, application security, observability, scalability and cost optimisation principles.

· Strong analytical and problem-solving skills, with the ability to translate business requirements into reliable and maintainable technical solutions.

· A collaborative and delivery-focused approach, with clear communication, sound documentation and a commitment to continuous learning.

Formation

Bac+5 / Master

Experience

1 a 3 ans

ℹ️

Informations pratiques

Contrat

CDI

Lieu

Casablanca

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